Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

This GitHub repository contains two directories : (1) variational autoencoder (VAE) and (2) denoising convolutional VAE (DCVAE). This contains programs for VAE and DCVAE models used in our work. For ...

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques. These techniques require a small number of ...

Variational autoencoder for protein sequences ... These files have been cleaned and minimized so they can be run using python with as few dependencies as possible. Dependencies. ...

These variants are based on multiple code transformation approaches, such as changing data structures, wrapping or unwrapping code in functions, adjusting loop bounds, etc. The team proposes an ...

We present an inversion algorithm with a deep-learning-based model compression scheme. Models are described with latent parameters of a trained variational autoencoder (VAE) neural network. Given ...

The variational autoencoder with 4 hidden layers performed the best with high Spearman and Pearson coefficients and low RMSD. In terms of the encoder ( Figures 4A,B ), a larger number of layers lead ...